Christopher Morris

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Nils M. KriegeUniversity of ViennaPreverjeni e-poštni naslov na univie.ac.at
Petra MutzelProfessorin für Informatik, Universität BonnPreverjeni e-poštni naslov na cs.uni-bonn.de
Martin GroheProfessor of Computer Science, RWTH Aachen UniversityPreverjeni e-poštni naslov na informatik.rwth-aachen.de
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISPreverjeni e-poštni naslov na cs.tu-darmstadt.de
Gaurav RattanAssistant Professor, University of TwentePreverjeni e-poštni naslov na utwente.nl
Matthias FeyFounding Engineer @ kumo.aiPreverjeni e-poštni naslov na tu-dortmund.de
William L HamiltonAssistant Professor of Computer Science, McGill University and MilaPreverjeni e-poštni naslov na cs.mcgill.ca
Marion NeumannWashington University in St. LouisPreverjeni e-poštni naslov na wustl.edu
Jan Eric LenssenMax Planck Institute for Informatics, Kumo.aiPreverjeni e-poštni naslov na mpi-inf.mpg.de
Jure LeskovecProfessor of Computer Science, Stanford UniversityPreverjeni e-poštni naslov na cs.stanford.edu
Rex (Zhitao) YingYale UniversityPreverjeni e-poštni naslov na yale.edu
Sean (Xiang) RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaPreverjeni e-poštni naslov na usc.edu
Jiaxuan YouAssistant Professor, UIUC CSPreverjeni e-poštni naslov na cs.stanford.edu
Martin RitzertGeorg-August Universität GöttingenPreverjeni e-poštni naslov na informatik.uni-goettingen.de
Elias B. KhalilAssistant Professor, University of TorontoPreverjeni e-poštni naslov na mie.utoronto.ca
Andrea LodiCornell Tech and Technion -- IITPreverjeni e-poštni naslov na cornell.edu
Didier ChételatSenior Researcher, Huawei Noah's Ark labPreverjeni e-poštni naslov na huawei.com
Franka BauseUniversity of ViennaPreverjeni e-poštni naslov na univie.ac.at
Chendi QianRWTH Aachen UniversityPreverjeni e-poštni naslov na hltpr.rwth-aachen.de
Mathias NiepertUniversity of Stuttgart & NEC Labs EuropePreverjeni e-poštni naslov na ki.uni-stuttgart.de

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Christopher Morris

RWTH Aachen University

Preverjeni e-poštni naslov na cs.rwth-aachen.de - Domača stran

Machine learning on graphs graph neural networks machine learning for combinatorial optimization discrete algorithms


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Hierarchical graph representation learning with differentiable pooling R Ying, J You, C Morris, X Ren, WL Hamilton, J Leskovec Advances in Neural Information Processing Systems 32, 2018	1818	2018
Weisfeiler and leman go neural: Higher-order graph neural networks C Morris, M Ritzert, M Fey, WL Hamilton, JE Lenssen, G Rattan, M Grohe Proceedings of the AAAI conference on artificial intelligence 33 (01), 4602-4609, 2019	1768	2019
TUDataset: A collection of benchmark datasets for learning with graphs C Morris, NM Kriege, F Bause, K Kersting, P Mutzel, M Neumann ICML 2020 Workshop on Graph Representation Learning and Beyond (GRL+ 2020), 2020	1102*	2020
A survey on graph kernels NM Kriege, FD Johansson, C Morris Applied Network Science 5, 1-42, 2020	503	2020
Combinatorial Optimization and Reasoning with Graph Neural Networks PV Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi ... Journal of Machine Learning Research 24, 2023	382	2023
Deep graph matching consensus M Fey, JE Lenssen, C Morris, J Masci, NM Kriege ICLR 2020, 2020	242	2020
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings C Morris, G Rattan, P Mutzel Advances in Neural Information Processing Systems 33, 2020	182	2020
Faster kernels for graphs with continuous attributes via hashing C Morris, NM Kriege, K Kersting, P Mutzel 2016 IEEE 16th International Conference on Data Mining (ICDM), 1095-1100, 2016	125	2016
Weisfeiler and leman go machine learning: The story so far C Morris, Y Lipman, H Maron, B Rieck, NM Kriege, M Grohe, M Fey, ... Journal of Machine Learning Research 24, 2023	120	2023
Glocalized weisfeiler-lehman graph kernels: Global-local feature maps of graphs C Morris, K Kersting, P Mutzel 2017 IEEE International Conference on Data Mining (ICDM), 327-336, 2017	109	2017
Reconstruction for Powerful Graph Representations L Cotta, C Morris, B Ribeiro Advances in Neural Information Processing Systems 34, 2021	84	2021
Attending to graph transformers L Müller, M Galkin, C Morris, L Rampášek TMLR, 2024	82	2024
Ordered Subgraph Aggregation Networks C Qian, G Rattan, F Geerts, C Morris, M Niepert Advances in Neural Information Processing Systems 35, 2022	57	2022
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers EB Khalil, C Morris, A Lodi AAAI 2022, 2022	47	2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks C Morris, G Rattan, S Kiefer, S Ravanbakhsh ICML 2022, 2022	38	2022
A unifying view of explicit and implicit feature maps of graph kernels NM Kriege, M Neumann, C Morris, K Kersting, P Mutzel Data Mining and Knowledge Discovery 33, 1505-1547, 2019	37*	2019
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels NM Kriege, C Morris, A Rey, C Sohler IJCAI, 2348-2354, 2018	37	2018
Temporal graph kernels for classifying dissemination processes L Oettershagen, NM Kriege, C Morris, P Mutzel Proceedings of the 2020 SIAM International Conference on Data Mining, 496-504, 2020	35*	2020
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs C Morris, M Fey, NM Kriege IJCAI, 2021	29	2021
Weisfeiler and Leman Go Relational P Barcelo, M Galkin, C Morris, MR Orth Learning on Graphs Conference, 2022	28	2022

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